KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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A Leakage-Based Solution for Interference Alignment in MIMO Interference Channel Networks

  • Shrestha, Robin (Wireless Transmission Lab (WiTLAB), Inha University) ;
  • Bae, Insan (Wireless Transmission Lab (WiTLAB), Inha University) ;
  • Kim, Jae Moung (Wireless Transmission Lab (WiTLAB), Inha University)
  • Received : 2013.11.19
  • Accepted : 2014.01.26
  • Published : 2014.02.27
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Abstract

Most recent research on iterative solutions for interference alignment (IA) presents solutions assuming channel reciprocity based on the suppression of interference from undesired sources by using an appropriate decoding matrix also known as a receiver combining matrix for multiple input multiple output (MIMO) interference channel networks and reciprocal networks. In this paper, we present an alternative solution for IA by designing precoding and decoding matrices based on the concept of signal leakage (the measure of signal power that leaks to unintended users) on each transmit side. We propose an iterative algorithm for an IA solution based on maximization of the signal-to-leakage-and-noise ratio (SLNR) of the transmitted signal from each transmitter. In order to make an algorithm removing the requirement of channel reciprocity, we deploy maximization of the signal-to-interference-and-noise ratio (SINR) in the design of the decoding matrices. We show through simulation that minimizing the leakage in each transmission can help achieve enhanced performance in terms of aggregate sum capacity in the system.

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References

  1. S. A. Jafar, and M. J. Fakhereddin, "Degrees of freedom for the MIMO interference channel," IEEE Trans. on Inf. Theory, vol. 53, no. 7, pp. 2637-2642, July 2007. https://doi.org/10.1109/TIT.2007.899557
  2. A. Host-Madsen, and A. Nosratinia, "The multiplexing gain of wireless networks," in Proc. of IEEE International Symposium on Information Theory 2005, pp. 2065-2069, Sept. 4-9, 2005.
  3. M. A. Maddah-Ali, A. S. Motahari, and A. K. Khandani, "Signaling over MIMO multi-base systems: Combination of multi-access and broadcast schemes," in Proc. of IEEE International Symposium on Inf.Theory 2006, pp. 2104-2108, July 9-14, 2006.
  4. S. A. Jafar, and S. Shamai, "Degrees of freedom region of the MIMO X channel," IEEE Trans. on Inf. Theory, vol. 54, no. 1, pp. 151-170, Jan. 2008. https://doi.org/10.1109/TIT.2007.911262
  5. V. R. Cadambe, and S. A. Jafar, "Interference Alignment and Degrees of Freedom of the K-User Interference Channel," IEEE Trans. on Inf. Theory, vol. 54, no. 8, pp. 3425-3441, Aug. 2008. https://doi.org/10.1109/TIT.2008.926344
  6. H. Sung, S.-H. Park, K.-J. Lee, and I. Lee, "Linear precoder designs for K-user interference channels," IEEE Trans. on Wireless Commun., vol. 9, no. 1, pp. 291-301, Jan. 2010. https://doi.org/10.1109/TWC.2010.01.090221
  7. H. Sun, and W. Fang, "Generalized precoder design for MIMO interference channel based on interference alignment," in Proc. of IEEE 22nd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC) 2011, pp. 1885-1888, Sept. 11-14 2011.
  8. K. Gomadam, V. R. Cadambe, and S. A. Jafar, "Approaching the capacity of wireless networks through distributed interference alignment," in Proc. of IEEE Global Telecommunications Conf (GLOBOCOM) 2008, pp. 1-6, Nov. 30 - Dec. 4, 2008.
  9. K. Gomadam, V. R. Cadambe, and S. A. Jafar, "A distributed numerical approach to interference alignment and applications to wireless interference networks," IEEE Trans. on Inf. Theory, vol. 57, no. 6, pp. 3309-3322, June 2011. https://doi.org/10.1109/TIT.2011.2142270
  10. S. W. Peters, and R. W. Heath, "Interference alignment via alternating minimization," in Proc. IEEE International Conference on Acoustic, Speech and Signal Process. (ICASSP) 2009, pp. 2445-2448, Apr. 19-24 2009.
  11. I. Santamaria, O. Gonzalez, R. Heath, and S. W. Peters, "Maximum sum-rate interference alignment algorithms for MIMO channels," in Proc. of IEEE Global Telecommunications Conf (GLOBOCOM) 2010, pp. 1-6, Dec. 6-10 2010.
  12. S. W. Peters, and R. W. Heath, "Cooperative algorithms for MIMO interference channels," IEEE Trans. on Veh. Technol., vol. 60, no. 1, pp. 206-218, Jan. 2011. https://doi.org/10.1109/TVT.2010.2085459
  13. O. El Ayach, S. W. Peters, and R. W. Heath, "The feasibility of interference alignment over measured MIMO-OFDM channels," IEEE Trans. on Veh. Technol., vol. 59, no. 9, pp. 4309-4321, Nov. 2010. https://doi.org/10.1109/TVT.2010.2082005
  14. O. El Ayach, K. Rosenfeld, and R. W. Heath, "The practical challenges of interference alignment," IEEE Wireless Commun., vol. 20, no. 1, pp. 35-42, Feb. 2013. https://doi.org/10.1109/MWC.2013.6472197
  15. G. C. Alexandropoulos, S. Papaharalabos, and C. B. Papadias, "On the performance of interference alignment under weak interference conditions," in Proc. of 19th International Conference on Systems, signals and Image Processing (IWSSIP) 2012, pp. 222-226, Apr. 11-13 2012.
  16. R. Xiongbin, R. Liangzhong, and V. K. N. Lau, "Limited Feedback Design for Interference Alignment on MIMO Interference Networks With Heterogeneous Path Loss and Spatial Correlations," IEEE Trans. on Signal Process., vol. 61, no. 10, pp. 2598-2607, May 2013. https://doi.org/10.1109/TSP.2013.2252168
  17. M. Sadek, A. Tarighat, and A. H. Sayed, "A leakage-based precoding scheme for downlink multi-user MIMO channels," IEEE Trans. on Wireless Commun., vol. 6, no. 5, pp. 1711-1721, May 2007. https://doi.org/10.1109/TWC.2007.360373
  18. S. Fan, and E. De Carvalho, "A Leakage-Based MMSE Beamforming Design for a MIMO Interference Channel," IEEE Signal Process. Letters, , vol. 19, no. 6, pp. 368-371, June 2012. https://doi.org/10.1109/LSP.2012.2196040
  19. S. Hui, L. Bin, T. Meixia, and W. Xiaodong, "MSE-Based Transceiver Designs for the MIMO Interference Channel," IEEE Trans. on Wireless Commun., vol. 9, no. 11, pp. 3480-3489, Nov. 2010. https://doi.org/10.1109/TWC.2010.091510.091836
  20. S. Fan, and E. De Carvalho, "Weighted MMSE Beamforming Design for Weighted Sum-Rate Maximization in Coordinated Multi-Cell MIMO Systems," in Proc. of IEEE Veh. Technol. Conference (VTC Fall) 2012, pp. 1-5, Sept. 3-6 2012.
  21. C. M. Yetis, T. Gou, S. A. Jafar, and A. H. Kayran, "On feasibility of interference alignment in MIMO interference networks," IEEE Trans. on Signal Process, vol. 58, no. 9, pp. 4771-4782, Sept. 2010. https://doi.org/10.1109/TSP.2010.2050480
  22. M. Sadek, A. Tarighat, and A. H. Sayed, "Active Antenna Selection in Multiuser MIMO Communications," IEEE Trans. on Signal Process, vol. 55, no. 4, pp. 1498-1510, Apr. 2007. https://doi.org/10.1109/TSP.2006.888893
  23. R. Horn, and C. Johnson, "Matrix analysis," pp. 176-180, Cambridge University Press, New York, 1985.

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